Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

Build a dashboard using container technology. Docker | Python | Grafana

A SEIRD epidemiological compartmental model for simulating COVID-19.

Decentralized Intelligent Contact Tracing of Animals and Objects

A pipeline for our research workflow.

Project that uses Random Forest Regression to forecast the number of COVID-19 infections and deaths in the Southeastern United States

Covid-19 (and others) Virus Simulator in Python (ETIS Internship Project)

napari-findaureus: A tool designed to identify bacteria in infected bone tissue images obtained via Confocal Laser Scanning Microscopy (CLSM).

Very simple infection simulation made for an assignment at KTH.

Project that uses Random Forest Classifier to forecast the number of COVID-19 infections and deaths per country

"Brownian-CA-Infection" is a Math Model of Infection based on CA and SIR.

The DualRNASeq Pipeline is a comprehensive, automated workflow designed to analyze host-pathogen dualRNA-Seq data, offering insights into gene expression dynamics during infection. Its modular Snakemake framework ensures reproducibility, scalability, and seamless execution on local machines, HPC clusters, or cloud platforms.

A framework written in Python to create and run simulations on compartmental epidemiological models.